aic () | |
arfreq () | Returns the frequency of the AR roots. |
arparams () | |
arroots () | |
bic () | |
bse () | |
conf_int ([alpha, cols, method]) | Returns the confidence interval of the fitted parameters. |
cov_params () | |
f_test (r_matrix[, cov_p, scale, invcov]) | Compute the F-test for a joint linear hypothesis. |
fittedvalues () | |
forecast ([steps, exog, alpha]) | Out-of-sample forecasts |
hqic () | |
initialize (model, params, **kwd) | |
llf () | |
load (fname) | load a pickle, (class method) |
mafreq () | Returns the frequency of the MA roots. |
maparams () | |
maroots () | |
normalized_cov_params () | |
plot_predict ([start, end, exog, dynamic, ...]) | Plot forecasts |
predict ([start, end, exog, typ, dynamic]) | ARIMA model in-sample and out-of-sample prediction |
pvalues () | |
remove_data () | remove data arrays, all nobs arrays from result and model |
resid () | |
save (fname[, remove_data]) | save a pickle of this instance |
summary ([alpha]) | Summarize the Model |
summary2 ([title, alpha, float_format]) | Experimental summary function for ARIMA Results |
t_test (r_matrix[, cov_p, scale, use_t]) | Compute a t-test for a each linear hypothesis of the form Rb = q |
tvalues () | Return the t-statistic for a given parameter estimate. |
wald_test (r_matrix[, cov_p, scale, invcov, ...]) | Compute a Wald-test for a joint linear hypothesis. |
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